NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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Machine Learning

2024 · 4,034 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2024 · NeurIPS
Learning Low-Rank Feature for Thorax Disease Classification
Yancheng Wang, Rajeev Goel, Utkarsh Nath, Alvin C. Silva, Teresa Wu, Yingzhen Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Macroscopic Dynamics from Partial Microscopic Observations
Mengyi Chen, Qianxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Mixtures of Unknown Causal Interventions
Abhinav Kumar, Kirankumar Shiragur, Caroline Uhler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Ambuj K. Singh, Francesco Bullo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
Gautam Chandrasekaran, Vasilis Kontonis, Konstantinos Stavropoulos, Kevin Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
Xi Zhang, Xiaolin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Optimal Tax Design in Nonatomic Congestion Games
Qiwen Cui, Maryam Fazel, Simon S. Du
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Partitions from Context
Simon Buchholz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Place Cell Representations and Context-Dependent Remapping
Markus Pettersen, Frederik Rogge, Mikkel Elle Lepperød
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
Xinhao Zheng, Yang Li, Cunxin Fan, Huaijin Wu, Xinhao Song, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Representations for Hierarchies with Minimal Support
Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Dasgupta, Hung Le, Andrew McCallum
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Segmentation from Point Trajectories
Laurynas Karazija, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Social Welfare Functions
Kanad Shrikar Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Spatially-Aware Language and Audio Embeddings
Bhavika Devnani, Skyler Seto, Zakaria Aldeneh, Alessandro Toso, Elena Menyaylenko, Barry-John Theobald, Jonathan Sheaffer, Miguel Sarabia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Structure-Aware Representations of Dependent Types
Konstantinos Kogkalidis, Orestis Melkonian, Jean-Philippe Bernardy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Structured Representations with Hyperbolic Embeddings
Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao
Machine Learning
日本大学: 沖縄科学技術大学院大学
2024 · NeurIPS
Learning Successor Features the Simple Way
Raymond Chua, Arna Ghosh, Christos Kaplanis, Blake A. Richards, Doina Precup
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Transferable Features for Implicit Neural Representations
Kushal Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute, Richard G. Baraniuk, Ashok Veeraraghavan, Guha Balakrishnan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Truncated Causal History Model for Video Restoration
Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Di Niu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Versatile Skills with Curriculum Masking
Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning Where to Edit Vision Transformers
Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning World Models for Unconstrained Goal Navigation
Yuanlin Duan, Wensen Mao, He Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas, Jelena Diakonikolas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
Yunwei Ren, Zixuan Wang, Jason D. Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning diffusion at lightspeed
Antonio Terpin, Nicolas Lanzetti, Martín Gadea, Florian Dörfler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning diverse causally emergent representations from time series data
David McSharry, Christos Kaplanis, Fernando E. Rosas, Pedro A.M. Mediano
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning from Highly Sparse Spatio-temporal Data
Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning from Noisy Labels via Conditional Distributionally Robust Optimization
Hui Guo, Grace Y. Yi, Boyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning from Offline Foundation Features with Tensor Augmentations
Emir Konuk, Christos Matsoukas, Moein Sorkhei, Phitchapha Lertsiravaramet, Kevin Smith
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning from Pattern Completion: Self-supervised Controllable Generation
Zhiqiang Chen, Guofan Fan, Jinying Gao, Lei Ma, Bo Lei, Tiejun Huang, Shan Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning from Snapshots of Discrete and Continuous Data Streams
Pramith Devulapalli, Steve Hanneke
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Dimitris N. Metaxas, Marco Pavone
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning from Uncertain Data: From Possible Worlds to Possible Models
Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
Eszter Székely, Lorenzo Bardone, Federica Gerace, Sebastian Goldt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
Thanh Nguyen-Tang, Raman Arora
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning on Large Graphs using Intersecting Communities
Ben Finkelshtein, İsmail İlkan Ceylan, Michael Bronstein, Ron Levie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning predictable and robust neural representations by straightening image sequences
Xueyan Niu, Cristina Savin, Eero P. Simoncelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly Stachenfeld, Tobias Pfaff
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning symmetries via weight-sharing with doubly stochastic tensors
Putri A. van der Linden, Alejandro García-Castellanos, Sharvaree Vadgama, Thijs P. Kuipers, Erik J. Bekkers
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
Nam Phuong Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Massimiliano Pontil
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning the Latent Causal Structure for Modeling Label Noise
Yexiong Lin, Yu Yao, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Assist Humans without Inferring Rewards
Vivek Myers, Evan Ellis, Sergey Levine, Benjamin Eysenbach, Anca Dragan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games
Fanqi Kong, Yizhe Huang, Song-Chun Zhu, Siyuan Qi, Xue Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Cooperate with Humans using Generative Agents
Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon S. Du, Natasha Jaques
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Decouple the Lights for 3D Face Texture Modeling
Tianxin Huang, Zhenyu Zhang, Ying Tai, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Edit Visual Programs with Self-Supervision
R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Embed Distributions via Maximum Kernel Entropy
Oleksii Kachaiev, Stefano Recanatesi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Handle Complex Constraints for Vehicle Routing Problems
Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
Dong Hoon Lee, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Durmus
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Predict Structural Vibrations
Jan van Delden, Julius Schultz, Christopher Blech, Sabine C. Langer, Timo Lüddecke
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Price Homogeneous Data
Keran Chen, Joon Suk Huh, Kirthevasan Kandasamy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Reason via Program Generation, Emulation, and Search
Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-ming Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way
Ming Chen, Jie Chun, Shang Xiang, Luona Wei, Yonghao Du, Qian Wan, Yuning Chen, Yingwu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to Understand: Identifying Interactions via the Möbius Transform
Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to be Smooth: An End-to-End Differentiable Particle Smoother
Ali Younis, Erik B. Sudderth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning to compute Gröbner bases
Hiroshi Kera, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama
Machine Learning
日本大学: 千葉大学 / 立教大学
2024 · NeurIPS
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
Tianyu He, Darshil Doshi, Aritra Das, Andrey Gromov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning via Surrogate PAC-Bayes
Antoine Picard-Weibel, Roman Moscoviz, Benjamin Guedj
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning with Fitzpatrick Losses
Seta Rakotomandimby, Jean-Philippe Chancelier, Michel De Lara, Mathieu Blondel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning-Augmented Algorithms for the Bahncard Problem
Hailiang Zhao, Xueyan Tang, Peng Chen, Shuiguang Deng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning-Augmented Algorithms with Explicit Predictors
Marek Eliáš, Haim Kaplan, Yishay Mansour, Shay Moran
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
Vincent Cohen-Addad, Tommaso d'Orsi, Anupam Gupta, Euiwoong Lee, Debmalya Panigrahi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning-Augmented Dynamic Submodular Maximization
Arpit Agarwal, Eric Balkanski
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning-Augmented Priority Queues
Ziyad Benomar, Christian Coester
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Least Squares Regression Can Exhibit Under-Parameterized Double Descent
Xinyue Li, Rishi Sonthalia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Length Optimization in Conformal Prediction
Shayan Kiyani, George Pappas, Hamed Hassani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
Xu Yang, Yingzhe Peng, Haoxuan Ma, Shuo Xu, Chi Zhang, Yucheng Han, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging Separated World Model for Exploration in Visually Distracted Environments
Kaichen Huang, Shenghua Wan, Minghao Shao, Hai-Hang Sun, Le Gan, Shuai Feng, De-Chuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images
Junxian Wu, Xinyi Ke, Xiaoming Jiang, Huanwen Wu, Youyong Kong, Lizhi Shao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals
Lisa Bedin, Gabriel Cardoso, Josselin Duchateau, Remi Dubois, Eric Moulines
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Leveraging partial stragglers within gradient coding
Aditya Ramamoorthy, Ruoyu Meng, Vrinda S. Girimaji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
LiT: Unifying LiDAR "Languages" with LiDAR Translator
Yixing Lao, Tao Tang, Xiaoyang Wu, Peng Chen, Kaicheng Yu, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Light Unbalanced Optimal Transport
Milena Gazdieva, Arip Asadulaev, Evgeny Burnaev, Alexander Korotin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
Xin Jin, Pengyi Jiao, Zheng-Peng Duan, Xingchao Yang, Chongyi Li, Chun-Le Guo, Bo Ren
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
Jintao Tong, Yixiong Zou, Yuhua Li, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Limits of Transformer Language Models on Learning to Compose Algorithms
Jonathan Thomm, Giacomo Camposampiero, Aleksandar Terzic, Michael Hersche, Bernhard Schölkopf, Abbas Rahimi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
LinNet: Linear Network for Efficient Point Cloud Representation Learning
Hao Deng, Kunlei Jing, Shengmei Cheng, Cheng Liu, Jiawei Ru, Jiang Bo, Lin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Linear Causal Bandits: Unknown Graph and Soft Interventions
Zirui Yan, Ali Tajer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Linear Causal Representation Learning from Unknown Multi-node Interventions
Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Ali Tajer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Linear Regression using Heterogeneous Data Batches
Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Linear Time Approximation Algorithm for Column Subset Selection with Local Search
Yuanbin Zou, Ziyun Huang, Jinhui Xu, Jianxin Wang, Qilong Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Linear Transformers are Versatile In-Context Learners
Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong Ge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Linear Uncertainty Quantification of Graphical Model Inference
Chenghua Guo, Han Yu, Jiaxin Liu, Chao Chen, Qi Li, Sihong Xie, Xi Zhang
Machine Learning
日本大学: 関与なし（対象大学）